☰

Marek J. Druzdzel - Publications

Affiliations: 
University of Pittsburgh, Pittsburgh, PA, United States 
Area:
decision analysis, decision theory, information science, computer science, artificial intelligence
Tree Info Similar researchers PubMed Report error

35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Gupta A, Slater JJ, Boyne D, Mitsakakis N, Béliveau A, Druzdzel MJ, Brenner DR, Hussain S, Arora P. Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method. Medical Decision Making : An International Journal of the Society For Medical Decision Making. 272989X19879095. PMID 31619130 DOI: 10.1177/0272989X19879095  0.362
2019 Arora P, Boyne D, Slater JJ, Gupta A, Brenner DR, Druzdzel MJ. Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine. Value in Health : the Journal of the International Society For Pharmacoeconomics and Outcomes Research. 22: 439-445. PMID 30975395 DOI: 10.1016/J.Jval.2019.01.006  0.416
2019 Orak NH, Small MJ, Druzdzel MJ. Bayesian network-based framework for exposure-response study design and interpretation. Environmental Health : a Global Access Science Source. 18: 23. PMID 30902096 DOI: 10.1186/S12940-019-0461-Y  0.335
2019 Kraisangka J, Druzdzel MJ. Corrigendum to “A Bayesian network interpretation of the Cox's proportional hazard model” [Int. J. Approx. Reason. 103 (2018) 195–211] International Journal of Approximate Reasoning. 111: 51-52. DOI: 10.1016/J.Ijar.2019.04.011  0.353
2019 Kraisangka J, Lohmueller L, Kanwar M, Zhao C, Druzdzel M, Antaki J, Simon M, Benza R. Derivation of a Bayesian Network Model from an Existing Risk Score Calculator for Pulmonary Arterial Hypertension The Journal of Heart and Lung Transplantation. 38: S487-S488. DOI: 10.1016/J.Healun.2019.01.1240  0.306
2018 Kraisangka J, Druzdzel MJ. A Bayesian Network Interpretation of the Cox's Proportional Hazard Model. International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society. 103: 195-211. PMID 31130777 DOI: 10.1016/J.Ijar.2018.09.007  0.486
2018 Onisko A, Druzdzel MJ, Austin RM. Application of Bayesian network modeling to pathology informatics. Diagnostic Cytopathology. PMID 30451397 DOI: 10.1002/Dc.23993  0.421
2018 Arora P, Boyne D, Druzdzel M. Graphical Probabilistic Models for Risk Prediction and Decision Making Using Real-World Data: A Developing Tool for the Era of Precision Medicine Value in Health. 21: S10. DOI: 10.1016/J.Jval.2018.04.048  0.304
2018 BENZA R, KRAISANGKA J, LOHMUELLER L, ZHAO C, SELEJ M, DRUZDZEL M, ANTAKI J, SPECK J, KANWAR M. APPLICATION OF A BAYESIAN NETWORK MODEL TO PREDICT OUTCOMES IN PULMONARY ARTERIAL HYPERTENSION Chest. 154: 1061A. DOI: 10.1016/J.Chest.2018.08.961  0.312
2016 Zagorecki A, Łupińska-Dubicka A, Voortman M, Druzdzel MJ. Modeling Women's Menstrual Cycles using PICI Gates in Bayesian Network. International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society. 70: 123-136. PMID 26834313 DOI: 10.1016/J.Ijar.2015.12.002  0.722
2015 Ratnapinda P, Druzdzel MJ. Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy? Journal of Applied Logic. DOI: 10.1016/J.Jal.2015.03.007  0.768
2014 Loghmanpour NA, Druzdzel MJ, Antaki JF. Cardiac Health Risk Stratification System (CHRiSS): a Bayesian-based decision support system for left ventricular assist device (LVAD) therapy. Plos One. 9: e111264. PMID 25397576 DOI: 10.1371/Journal.Pone.0111264  0.31
2014 de Jongh M, Druzdzel MJ. Evaluation of rules for coping with insufficient data in constraint-based search algorithms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8754: 190-205.  0.636
2014 Ratnapinda P, Druzdzel MJ. An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, Flairs 2014. 508-511.  0.729
2014 Kraisangka J, Druzdzel MJ, Druzdz MJ. Discrete Bayesian network interpretation of the Cox’s Proportional Hazards model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8754: 238-253.  0.312
2013 Oni?ko A, Druzdzel MJ. Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. Artificial Intelligence in Medicine. 57: 197-206. PMID 23466438 DOI: 10.1016/J.Artmed.2013.01.004  0.453
2013 Ratnapinda P, Druzdzel MJ. An empirical comparison of Bayesian network parameter learning algorithms for continuous data streams Flairs 2013 - Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference. 627-632.  0.773
2011 Ratnapinda P, Druzdzel MJ. Does query-based diagnostics work? Ceur Workshop Proceedings. 818: 117-124.  0.701
2010 Santelices LC, Wang Y, Severyn D, Druzdzel MJ, Kormos RL, Antaki JF. Development of a hybrid decision support model for optimal ventricular assist device weaning. The Annals of Thoracic Surgery. 90: 713-20. PMID 20732482 DOI: 10.1016/J.Athoracsur.2010.03.073  0.337
2010 Voortman M, Dash D, Druzdzel MJ. Learning why things change: The Difference-Based Causality Learner Proceedings of the 26th Conference On Uncertainty in Artificial Intelligence, Uai 2010. 641-650.  0.748
2009 Ratnapinda P, Druzdzel MJ. Passive construction of diagnostic decision models: An empirical evaluation Proceedings of the International Multiconference On Computer Science and Information Technology, Imcsit '09. 4: 601-607. DOI: 10.1109/IMCSIT.2009.5352779  0.719
2009 Lu TC, Druzdzel MJ. Interactive construction of graphical decision models based on causal mechanisms European Journal of Operational Research. 199: 873-882. DOI: 10.1016/J.Ejor.2009.01.056  0.556
2008 Dash D, Druzdzel MJ. A note on the correctness of the causal ordering algorithm Artificial Intelligence. 172: 1800-1808. DOI: 10.1016/J.Artint.2008.06.005  0.56
2008 Voortman M, Druzdzel MJ. Insensitivity of constraint-based causal discovery algorithms to violations of the assumption of multivariate normality Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, Flairs-21. 690-695.  0.742
2007 De Jongh M, Druzdzel M, Rothkrantz L. Implementing and Improving a method for non-invasive elicitation of probabilities for bayesian networks Acm International Conference Proceeding Series. 285. DOI: 10.1145/1330598.1330722  0.622
2007 Yuan C, Druzdzel MJ. Theoretical analysis and practical insights on importance sampling in Bayesian networks International Journal of Approximate Reasoning. 46: 320-333. DOI: 10.1016/J.Ijar.2006.09.006  0.579
2006 Yuan C, Druzdzel MJ. Importance sampling algorithms for Bayesian networks: Principles and performance Mathematical and Computer Modelling. 43: 1189-1207. DOI: 10.1016/J.Mcm.2005.05.020  0.595
2006 Zagorecki A, Voortman M, Druzdzel MJ. Decomposing local probability distributions in bayesian networks for improved inference and parameter learning Flairs 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. 2006: 860-864.  0.779
2002 Wang H, Dash D, Druzdzel MJ. A method for evaluating elicitation schemes for probabilistic models. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 32: 38-43. PMID 18238102 DOI: 10.1109/3477.979958  0.524
2001 Druzdzel MJ, Van Leijen H. Causal reversibility in Bayesian networks Journal of Experimental and Theoretical Artificial Intelligence. 13: 45-62. DOI: 10.1080/09528130120952  0.312
2001 Oniśko A, Druzdzel MJ, Wasyluk H. Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates International Journal of Approximate Reasoning. 27: 165-182. DOI: 10.1016/S0888-613X(01)00039-1  0.45
2001 Dash D, Druzdzel M. Caveats for causal reasoning with equilibrium models Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2143: 192-203.  0.508
2000 Cheng J, Druzdzel MJ. AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks Journal of Artificial Intelligence Research. 13: 155-188. DOI: 10.1613/Jair.764  0.556
2000 Druzdzel M, van der Gaag L. Building probabilistic networks: "Where do the numbers come from?" guest editors' introduction Ieee Transactions On Knowledge and Data Engineering. 12: 481-486. DOI: 10.1109/Tkde.2000.868901  0.371
1999 Lin Y, Druzdzel MJ. Relevance-based incremental belief updating in Bayesian networks International Journal of Pattern Recognition and Artificial Intelligence. 13: 285-295. DOI: 10.1142/S0218001499000161  0.403
Show low-probability matches.